R中的彩虹传奇-LMLPHP我在一张图中绘制了0-100岁的死亡率。颜色非常饱满,但是对于读者来说,没有任何解释,例如0岁,40岁或100岁是谁。我见过彩虹的传说是在线图片,但没有写出自己的答案。我用来画的线是

plot(m, series = "total", datatype="rate", plot.type="time", xlab="Years", main="Total death rate")

我该如何更改才能获得彩虹传奇?并要求在图形区域中写出网格线吗?

数据段是
structure(c(0.107446, 0.02901, 0.015211, 0.010825, 0.008799,
0.006939, 0.110958, 0.028299, 0.014543, 0.010939, 0.00893, 0.007335,
0.091162, 0.026333, 0.013556, 0.009593, 0.007193, 0.005984, 0.097073,
0.026088, 0.012508, 0.008976, 0.007057, 0.005734, 0.089595, 0.022413,
0.011188, 0.008234, 0.006767, 0.005522, 0.093491, 0.02269, 0.011209,
0.009104, 0.00724, 0.006003, 0.08592, 0.019631, 0.009459, 0.006521,
0.005931, 0.004634, 0.080883, 0.019495, 0.009131, 0.006662, 0.004753,
0.004184, 0.09061, 0.021713, 0.008999, 0.006332, 0.004717, 0.004221,
0.076158, 0.016583, 0.008261, 0.005645, 0.004305, 0.003866, 0.078229,
0.019572, 0.008195, 0.005844, 0.004747, 0.003715, 0.07538, 0.01746,
0.008253, 0.006093, 0.004857, 0.003771, 0.074146, 0.01849, 0.008344,
0.005719, 0.004848, 0.004174, 0.072209, 0.015411, 0.007567, 0.005166,
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0.003673, 0.077503, 0.017572, 0.007786, 0.005492, 0.004817, 0.003448,
0.072559, 0.018363, 0.007551, 0.005644, 0.004607, 0.003867, 0.067097,
0.014814, 0.007276, 0.005583, 0.004591, 0.003869, 0.066543, 0.019021,
0.011272, 0.009122, 0.007382, 0.00635, 0.071861, 0.016772, 0.009663,
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0.000908, 0.000592, 0.023167, 0.002012, 0.001074, 0.001072, 0.00101,
0.000708, 0.020801, 0.00185, 0.00138, 0.001153, 0.000802, 0.000886,
0.021411, 0.001977, 0.001321, 0.000922, 0.000752, 0.000671, 0.020338,
0.001702, 0.001157, 0.000908, 0.000866, 0.000721, 0.019017, 0.001688,
0.001052, 0.000873, 0.000653, 0.000666, 0.018535, 0.001483, 0.001013,
0.000808, 0.000684, 0.00048, 0.017848, 0.001449, 0.001057, 0.000808,
0.000726, 0.00064, 0.017602, 0.001388, 0.001117, 0.000751, 0.000649,
0.000526, 0.017921, 0.001424, 0.000889, 0.000784, 0.000703, 5e-04,
0.01597, 0.001387, 0.00081, 0.00084, 0.000623, 0.000619, 0.016763,
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0.000588, 0.000414, 0.000388, 0.000298, 0.000391, 0.009622, 0.000725,
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0.000311, 0.000351, 0.000378, 0.008115, 0.000522, 0.000407, 0.00027,
0.000301, 0.000332, 0.007953, 0.000501, 0.000333, 0.000379, 0.000349,
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0.000153, 0.00011, 0.000109, 0.003134, 0.000213, 0.000126, 7.5e-05,
8.7e-05, 8.7e-05, 0.002427, 0.000415, 0.000141, 0.000198, 8.6e-05,
0.00013, 0.002857, 0.000293, 0.000137, 0.00015, 0.000114, 0.000107,
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0.000219, 0.000196, 4.8e-05, 7.7e-05, 0.002578, 0.00025, 0.000126,
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0.002183, 0.000217, 4.3e-05, 0.000119, 5.9e-05, 9.5e-05), .Dim = c(6L,
115L), .Dimnames = list(c("0", "1", "2", "3", "4", "5"), c("1900",
"1901", "1902", "1903", "1904", "1905", "1906", "1907", "1908",
"1909", "1910", "1911", "1912", "1913", "1914", "1915", "1916",
"1917", "1918", "1919", "1920", "1921", "1922", "1923", "1924",
"1925", "1926", "1927", "1928", "1929", "1930", "1931", "1932",
"1933", "1934", "1935", "1936", "1937", "1938", "1939", "1940",
"1941", "1942", "1943", "1944", "1945", "1946", "1947", "1948",
"1949", "1950", "1951", "1952", "1953", "1954", "1955", "1956",
"1957", "1958", "1959", "1960", "1961", "1962", "1963", "1964",
"1965", "1966", "1967", "1968", "1969", "1970", "1971", "1972",
"1973", "1974", "1975", "1976", "1977", "1978", "1979", "1980",
"1981", "1982", "1983", "1984", "1985", "1986", "1987", "1988",
"1989", "1990", "1991", "1992", "1993", "1994", "1995", "1996",
"1997", "1998", "1999", "2000", "2001", "2002", "2003", "2004",
"2005", "2006", "2007", "2008", "2009", "2010", "2011", "2012",
"2013", "2014")))

最佳答案

我不确定您是如何从数据转到情节的。
我怀疑颜色实际上是基于age
没有提供,但是由于那不是重点,
我只是弥补了一些值(value)。另外,因为您使用了
我也做了rainbow调色板,但是正如@KonradRudolph指出的那样rainbow存在问题,您可能想要
考虑不同的调色板。

为了解决您的问题,SDMTools
包括legend.gradient函数。函数grid将添加所需的背景网格。我用全部
在下面的示例中。必须将其调整为
符合您实际绘制的方式,但这应该
足够接近以便您弄清楚。我调用
您为数据DR提供的数据结构。

library(SDMTools)
age = floor((log(DR[,1])+6)*17)
plot(colnames(DR), log(DR[1,]), type="l", ylim=c(-10,0),
    col=rainbow(102)[age[1]], xlab="Years", ylab="log Death Rate")
for(i in 2:6) {
    lines(colnames(DR), log(DR[i,]), col=rainbow(102)[age[i]]) }

LegLoc   = cbind(x =c(1900,1903,1903,1900), y =c(-8,-8,-10,-10))
legend.gradient(pnts=LegLoc, cols=rainbow(102),
    limits=c(1, 100), title = "age")
grid()

R中的彩虹传奇-LMLPHP

关于R中的彩虹传奇,我们在Stack Overflow上找到一个类似的问题:https://stackoverflow.com/questions/43169052/

10-12 21:25